Best Observability Tools for AWS Storage Gateway

Amazon CloudWatch serves as a comprehensive monitoring and observability tool designed specifically for DevOps professionals, software developers, site reliability engineers, and IT administrators. This service equips users with essential data and actionable insights necessary for overseeing applications, reacting to performance shifts across systems, enhancing resource efficiency, and gaining an integrated perspective on operational health. By gathering monitoring and operational information in the forms of logs, metrics, and events, CloudWatch delivers a cohesive view of AWS resources, applications, and services, including those deployed on-premises. Users can leverage CloudWatch to identify unusual patterns within their environments, establish alerts, visualize logs alongside metrics, automate responses, troubleshoot problems, and unearth insights that contribute to application stability. Additionally, CloudWatch alarms continuously monitor your specified metric values against established thresholds or those generated through machine learning models to effectively spot any anomalous activities. This functionality ensures that users can maintain optimal performance and reliability across their systems.

SolarWinds®, AppOptics™, is a SaaS-based infrastructure and application monitoring tool for custom-built on-premises, hybrid, and cloud systems. AppOptics reduces MTTR by allowing quick identification of performance issues across the stack, from the application to the underlying infrastructure down to the line code. AppOptics was designed to be easy to use and set up by IT professionals. It has powerful features that quickly and automatically identify performance issues, eliminating the guesswork and reducing the time spent on troubleshooting. AppOptics allows you to align infrastructure and performance objectives with business objectives.

Glasnostic seamlessly integrates into the network data path without the need for agents, allowing it to monitor the interaction patterns among various services while identifying anomalies and implementing effective control mechanisms in real-time. The value of visibility diminishes if it is not linked to actionable responses, and Glasnostic empowers engineers to react proactively to system behaviors as they unfold. By embedding transparent controllers within the network data plane, Glasnostic functions like a centralized brain that continuously detects and addresses behaviors instantaneously. Interaction metrics are relayed to the control plane for both storage and the identification of anomalies, facilitating either automated responses or manual interventions. It is compatible with all leading cloud technologies and can seamlessly integrate with existing AIOps, workflow, and security tools through APIs and webhooks. Additionally, Glasnostic is designed to operate across all significant technology stacks, providing a comprehensive view of system behaviors in a holistic, consistent, and omnipresent manner, ensuring that engineers have the insights they need to maintain optimal operational efficiency. As a result, organizations can achieve greater reliability and responsiveness in their IT environments.